Time consideration in machine learning models for train comfort prediction using LSTM networks

This publication has 24 references indexed in Scilit:

• Emission rates of intermodal rail/road and road-only transportation in Europe: A comprehensive simulation study
  Transportation Research Part D: Transport and Environment, 2018
• Fault diagnosis network design for vehicle on-board equipments of high-speed railway: A deep learning approach
  Engineering Applications of Artificial Intelligence, 2016
• Conceptual propulsion system design for a hydrogen‐powered regional train
  IET Electrical Systems in Transportation, 2016
• Urban rail track condition monitoring based on in-service vehicle acceleration measurements
  Measurement, 2016
• Future railway services-oriented mobile communications network
  IEEE Communications Magazine, 2015
• Experimental investigation on vibration behaviour of a CRH train at speed of 350 km/h
  International Journal of Rail Transportation, 2015
• Discomfort during lateral acceleration: Influence of seat cushion and backrest
  Applied Ergonomics, 2013
• Virtual optimisation of car passenger seats: Simulation of static and dynamic effects on drivers’ seating comfort
  International Journal of Industrial Ergonomics, 2008
• A factorial analysis for the determination of an optimal train speed with a desired ride comfort
  Applied Acoustics, 2005
• THE VALUE OF TRANSPORT SAFETY
  Oxford Review of Economic Policy, 1990